| Close | |
|---|---|
| Annualized Return | 0.0509 |
| Annualized Std Dev | 0.2095 |
| Annualized Sharpe (Rf=0%) | 0.2432 |
| Close | |
|---|---|
| Observations | 5160.0000 |
| NAs | 1.0000 |
| Minimum | -0.1155 |
| Quartile 1 | -0.0051 |
| Median | 0.0008 |
| Arithmetic Mean | 0.0003 |
| Geometric Mean | 0.0002 |
| Quartile 3 | 0.0062 |
| Maximum | 0.1003 |
| SE Mean | 0.0002 |
| LCL Mean (0.95) | -0.0001 |
| UCL Mean (0.95) | 0.0006 |
| Variance | 0.0002 |
| Stdev | 0.0132 |
| Skewness | -0.1477 |
| Kurtosis | 8.1559 |
| Close | |
|---|---|
| Semi Deviation | 0.0096 |
| Gain Deviation | 0.0093 |
| Loss Deviation | 0.0105 |
| Downside Deviation (MAR=210%) | 0.0142 |
| Downside Deviation (Rf=0%) | 0.0094 |
| Downside Deviation (0%) | 0.0094 |
| Maximum Drawdown | 0.6579 |
| Historical VaR (95%) | -0.0207 |
| Historical ES (95%) | -0.0325 |
| Modified VaR (95%) | -0.0198 |
| Modified ES (95%) | -0.0325 |
| From | Trough | To | Depth | Length | To Trough | Recovery |
|---|---|---|---|---|---|---|
| 2000-09-05 | 2009-03-09 | 2014-02-27 | -0.6579 | 3367 | 2115 | 1252 |
| 2020-02-20 | 2020-03-23 | 2020-07-06 | -0.3235 | 95 | 23 | 72 |
| 2018-10-02 | 2018-12-24 | 2019-04-23 | -0.2097 | 139 | 58 | 81 |
| 2015-07-21 | 2016-02-11 | 2016-07-20 | -0.1534 | 253 | 143 | 110 |
| 2020-09-03 | 2020-09-23 | 2020-12-01 | -0.1122 | 62 | 14 | 48 |
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Close | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000 | NA | NA | NA | NA | NA | NA | 2 | 1.5 | -2.5 | 3.4 | 2.4 | -0.8 | 6.1 |
| 2001 | -1.4 | -2.5 | 0.2 | 1.6 | 0.6 | 1.7 | 1 | 0.1 | -0.3 | 1.4 | 0.4 | -1.4 | 1.3 |
| 2002 | -0.7 | 2.2 | -0.5 | 0.2 | 0.8 | -1.5 | -1.3 | 0.1 | 3.2 | 1.9 | -0.4 | -0.3 | 3.7 |
| 2003 | 0.9 | 1.4 | 0.5 | 0.1 | 1.8 | 0.4 | -1 | 0.5 | 2.2 | 0.7 | 1.2 | 0 | 8.8 |
| 2004 | -0.5 | 0.9 | 0 | -0.4 | -0.2 | -1.4 | 0 | 1.2 | 1.7 | -0.3 | 1.7 | -0.5 | 2 |
| 2005 | 0.5 | 0.5 | -0.7 | 0.8 | 0.9 | 0.2 | 0.1 | -0.8 | 0.4 | 0.3 | 1.3 | -0.7 | 3 |
| 2006 | 0.5 | 0.7 | -0.2 | -0.5 | 1.6 | 0 | -0.9 | 0.5 | -0.5 | -0.9 | -0.6 | -0.2 | -0.5 |
| 2007 | 0.5 | -0.4 | 0.2 | 0.2 | 0.2 | -0.1 | 0.7 | 1.1 | 1.4 | -2 | 0.2 | -0.7 | 1.3 |
| 2008 | 1.5 | -2.4 | 3.1 | 1.9 | 0.4 | 0.3 | -0.7 | -1.3 | -1.2 | 1.7 | -8.1 | 1.2 | -4 |
| 2009 | -2.3 | -1.3 | 1.5 | 0.4 | 3.1 | 0.5 | 0 | -1.8 | -2.3 | -2.3 | 1.3 | -1.1 | -4.4 |
| 2010 | 1 | 1.1 | 0.4 | -1.6 | -1.1 | -0.1 | 0 | 2.8 | 0.2 | 0.1 | 2.2 | -0.2 | 4.9 |
| 2011 | 1.6 | -1.6 | 0.4 | 0.2 | -2.2 | 1.4 | -0.5 | -1.2 | -2.4 | -2.5 | 0 | -0.4 | -7.1 |
| 2012 | 0.9 | 0.8 | 0.2 | 0.3 | -2.7 | 2.6 | -0.5 | 0.5 | 0.1 | 1.3 | -0.1 | 1.8 | 5.3 |
| 2013 | 0.9 | 0.3 | -0.6 | -0.9 | -1.3 | 1.1 | 1.2 | -0.7 | 1 | 0.1 | 0.1 | 0.5 | 1.8 |
| 2014 | -0.6 | 0 | 1.1 | 0.2 | 0.1 | 1 | -0.2 | 0.5 | -1.5 | 1.2 | -1.1 | -0.9 | -0.2 |
| 2015 | -1.2 | -0.4 | -0.7 | 1.2 | 0 | 0.8 | 0.2 | -2.7 | 0.3 | -0.4 | 0.9 | -1 | -3 |
| 2016 | 0.3 | 2.4 | 0.8 | -0.5 | 0.3 | 0.5 | 0.2 | 0.1 | 0.6 | -0.8 | -0.9 | -0.7 | 2.3 |
| 2017 | 0.2 | 1.3 | 0 | 0.4 | 0.6 | 0.2 | 0.1 | 0.1 | 0.5 | 0 | -0.3 | -0.5 | 2.6 |
| 2018 | -0.3 | -1.4 | 1.6 | 0.7 | 1.3 | 0.1 | 0.3 | 0.1 | 0.3 | 1.2 | 0.9 | 1 | 5.8 |
| 2019 | 0 | 0.8 | 1 | -0.9 | -1.3 | 0.8 | -0.5 | -0.2 | -1 | 0.6 | -0.4 | 0.1 | -0.9 |
| 2020 | -1.9 | -0.3 | -4.2 | -2.5 | 0.5 | 1 | 1.3 | 1.4 | 1 | -1.8 | 1.2 | 0.4 | -4 |
| 2021 | 2.3 | 2.5 | 0.4 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 5.3 |
# tidytable [6 × 21]
datadate Close tic.x spy ret.x ret_1W.x ret_1M.x ret_3M.x ret_1Y.x ret_3Y.x ret_5Y.x tic.y gld ret.y ret_1W.y
<date> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 2000-07-28 32.2 SPY 142. -0.0226 -0.0379 -0.0238 -0.0207 0.0704 NA NA <NA> NA NA NA
2 2000-07-31 32.8 SPY 143. 0.0057 -0.0268 -0.0089 -0.0283 0.074 NA NA <NA> NA NA NA
3 2000-08-02 33.1 SPY 145. 0.005 -0.0088 -0.0182 0.021 0.107 NA NA <NA> NA NA NA
4 2000-08-03 32 SPY 146. 0.0069 0.0015 0.0067 0.0267 0.105 NA NA <NA> NA NA NA
5 2000-08-04 33.2 SPY 146. 0.0054 0.0301 0.0043 0.0198 0.123 NA NA <NA> NA NA NA
6 2000-08-08 33.7 SPY 149. 0.0038 0.0334 0.0057 0.0522 0.156 NA NA <NA> NA NA NA
# … with 6 more variables: ret_1M.y <dbl>, ret_3M.y <dbl>, ret_1Y.y <dbl>, ret_3Y.y <dbl>, ret_5Y.y <dbl>, rel <dbl>